JITL Home Archive Volume 4 Issue 1 Article Metrics

Metrics

From

Modeling Students’ Procrastination Using Gaussian – Bernoulli Mixed Naïve Bayes Method by Shara M. Baylin and Laila S. Lomibao Journal of Innovations in Teaching and Learning. 2024, 4(1), 7-12 doi:10.12691/jitl-4-1-2

Views

1749

Html 1749

Abstract 0

26 January 2024 (publication date) through 14 September 2024 ^*

46.26 % of article views led to PDF downloads ^*

^*Although we update our data on a daily basis, there may be a 48-hour delay before the most recent numbers are available.

Downloads: 1528

PDF809

Epub415

XML158

PPT0

Figures91

Tables55

Export: 429

RIS114

BibTex166

Endnote149

RIS, BibTex, EndNote allows users to search, retrieve and store citations from bibliographic databases such as ABI Inform, the Web of Science, Anthropological Literature, the MLA bibliography, or the catalogs of individual libraries.

Area Chart Example: If your want to see the details of daily statistics for this article, please click here to login our Manuscript Tracking System.

Citations

Found additional citations for the article? Please contact us at submission@sciepub.com.

Shares & bookmarks

Facebook0

Twitter0

LinkedIn0

Google +0

Found additional shares or bookmarks for the article? Please contact us at submission@sciepub.com